The Work–Family Interface and Sleep Quality

Objective: This article investigated whether work-to-family conflict (WFC) and work-to-family enrichment (WFE) were associated with employee sleep quality. WFC and WFE reflect the potential for experiences at work to negatively and positively influence nonworking life respectively, and may have implications for sleep quality. In this article, we examined whether WFC and WFE were linked with sleep quality via hedonic balance (i.e., positive affect relative to negative affect). Participants: The sample included 3,170 employed Australian parents involved in the Household Income and Labour Dynamics in Australia (HILDA) Survey. Methods: Information on WFC, WFE, hedonic balance, sleep quality, and relevant covariates was collected through a structured interview and self-completion questionnaire. Results: WFC was associated with poorer sleep quality (β = .27, p < .001), and this relationship was stronger in males than females and in dual parent–single income families. WFC was also found to be indirectly associated with poor sleep quality via a lower hedonic balance (β = .17, 99% confidence interval [.14, .20]). WFE was not directly associated with sleep quality, but was indirectly associated with better sleep quality via a higher hedonic balance (β = –.04 [–.07, –.02]). Conclusions: These results indicate that aspects of the work–family interface are associated with employee sleep quality. Furthermore, affective experiences were found to link WFC and WFE with sleep quality. Workplace interventions that target WFC and WFE may have implications for employee sleep.     

Toxic by design? Formation of thermal degradants and cyanide from carboxamide-type synthetic cannabinoids CUMYL-PICA, 5F-CUMYL-PICA,AMB-FUBINACA,MDMB-FUBINACA,NNEI, and MN-18 during exposure to high temperatures

Forensic Toxicology - The use of novel synthetic cannabinoids as intoxicants continues in spite of associated health risks. These compounds are typically smoked or vaporized, but many synthetic...     

Epitope specificity determines pathogenicity and detectability in ANCA-associated vasculitis

Anti-neutrophil cytoplasmic antibody–associated (ANCA-associated) small vessel necrotizing vasculitis is caused by immune-mediated inflammation of the vessel wall and is diagnosed in some cases by the presence of myeloperoxidase-specific antibodies (MPO-ANCA). This multicenter study sought to determine whether differences in ANCA epitope specificity explain why, in some cases, conventional serologic assays do not correlate with disease activity, why naturally occurring anti-MPO autoantibodies can exist in disease-free individuals, and why ANCA are undetected in patients with ANCA-negative disease. Autoantibodies from human and murine samples were epitope mapped using a highly sensitive epitope excision/mass spectrometry approach. Data indicated that MPO autoantibodies from healthy individuals had epitope specificities different from those present in ANCA disease. Importantly, this methodology led to the discovery of MPO-ANCA in ANCA-negative disease that reacted against a sole linear sequence. Autoantibodies against this epitope had pathogenic properties, as demonstrated by their capacity to activate neutrophils in vitro and to induce nephritis in mice. The confounder for serological detection of these autoantibodies was the presence of a fragment of ceruloplasmin in serum, which was eliminated in purified IgG, allowing detection. These findings implicate immunodominant epitopes in the pathology of ANCA-associated vasculitis and suggest that autoantibody diversity may be common to other autoimmune diseases.     

电针对单纯性肥胖大鼠下丘脑组织中瘦素和神经肽Y表达的影响

目的:观察电针对单纯性肥胖大鼠下丘脑瘦素和神经肽Y表达的影响,探索电针减肥的机制。方法:实验于2005-12/2006-06在中南大学湘雅医院中西医结合研究所实验室完成。①取1月龄刚断乳SD雄性大鼠,随机取6只饲以普通饲料为正常对照组,其他大鼠饲以高脂饲料,喂养3个月后,选择体质量超过正常对照组20%的单纯性肥胖大鼠12只,随机分为模型组和电针组2组,每组6只。②电针组大鼠电针双侧足三里、天枢、三阴交穴,采用疏密波,电流强度0.3～0.6mA,留针20min,1次/d,共20次;其他2组不电针。实验期间均饲以普通饲料。③观察实验大鼠体质量、体长、Lee's指数及体脂,采用Western-blot技术检测下丘脑组织中瘦素、神经肽Y表达的变化。结果:18只大鼠进入结果分析。①模型组大鼠体质量和Lee’s指数高于正常对照组[(451.8±14.8),(323.6±6.8)g;324.25±1.4,305.14±1.5;P均<0.01];电针组电针后体质量和Lee’s指数低于电针前[(372.2±20.4),(454.7±19.7)g;307.71±1.5,323.56±1.6;P均<0.01]。②模型组大鼠心包、肾周和附睾脂肪量均高于正常对照组(P<0.01);电针组电针后心包、肾周和附睾脂肪量低于电针前(P<0.01)。③模型组下丘脑组织中瘦素蛋白表达低于正常对照组(0.62±0.11,0.88±0.15,P<0.01),电针组高于模型组(0.85±0.13,P<0.01);模型组下丘脑组织中神经肽蛋白表达高于正常对照组(2.42±0.27,1.75±0.24,P<0.01),电针组高于模型组(1.87±0.21,P<0.01)。结论:电针有良好的减肥效果,其作用可能与电针增强下丘脑组织瘦素蛋白的表达、同时抑制下丘脑组织中的神经肽Y蛋白表达有关。     

Discriminating brain activity from task-related artifacts in functional MRI: fractal scaling analysis simulation and application

Functional magnetic resonance imaging (fMRI) signal changes can be separated from background noise by various processing algorithms, including the well-known deconvolution method. However, discriminating signal changes due to task-related brain activities from those due to task-related head motion or other artifacts correlated in time to the task has been little addressed. We examine whether three exploratory fractal scaling analyses correctly classify these possibilities by capturing temporal self-similarity; namely, fluctuation analysis, wavelet multi-resolution analysis, and detrended fluctuation analysis (DFA). We specifically evaluate whether these fractal analytic methods can be effective and reliable in discriminating activations from artifacts. DFA is indeed robust for such classification. Brain activation maps derived by DFA are similar, but not identical, to maps derived by deconvolution. Deconvolution explicitly utilizes task timing to extract the signals whereas DFA does not, so these methods reveal somewhat different information from the data. DFA is better than deconvolution for distinguishing fMRI activations from task-related artifacts, although a combination of these approaches is superior to either one taken alone. We also present a method for estimating noise levels in fMRI data, validated with numerical simulations suggesting that Birn's model is effective for simulating fMRI signals. Simulations further corroborate that DFA is excellent at discriminating signal changes due to task-related brain activities from those due to task-related artifacts, under a range of conditions.